pandas之分组统计列联表pd.crosstab()问题

DataFrame.groupby(by=['减肥方式','血压含量'])['减肥方式'].count().reset_index(name='次数')

def list_set(list_1):
    list_2 = list(set(list_1))
    list_2.sort(key=list_1.index)
    return list_2
def func(df,df_title_X,df_title_Y):
    df_data = df.groupby(by=[df_title_X,df_title_Y])[df_title_X].count().reset_index(name='次数')
    data_dict = {}
    for i in df_data[df_data.columns[0]]:
        data_dict[i] = {}
        for a in df_data[df_data.columns[1]]:
            data_dict[i][a] = {}
    for i in range(df_data.shape[0]):
        data_dict[df_data[df_data.columns[0]].loc[i]][df_data[df_data.columns[1]].loc[i]] = df_data[df_data.columns[2]].loc[i]
    l = [list(i.values()) for i in data_dict.values()]
    return pd.DataFrame(np.array(l).T,columns=list_set(df_data[df_title_X].to_list()),
                      index=list_set(df_data[df_title_X].to_list()))
print(func(df,'减肥方式','血压含量'))

import pandas as pd
pd.crosstab()

print(pd.crosstab(df['血压含量'],df['减肥方式'],margins=True,margins_name='总和'))
print(pd.crosstab(df['血压含量'],df['减肥方式'],margins=True,margins_name='总和').to_dict())